Machine Learning for Environmental Monitoring
Eyes in the sky (and everywhere else)
With increasing availability of Remotely Sensed Geo-information, coupled with advances in Machine Learning models, it has become possible to monitor our environment at scale and with nuance.
In this interactive session, researcher and experimenter Ando Shah will talk about the connections between big data, deep learning, and how these can contribute towards the advancement of environmental monitoring.
Amongst other things, he will be speaking from his experience of building Sand Mining Watch, collaborating with India Sand Watch, and other similar efforts.
Facilitator Details
Ando is a PhD Candidate at UC Berkeley's School of Information and fellow at the Global Policy Lab, Digital Transformation of Development (DToD), supported by the U.S. National Science Foundation, Mozilla Technology Fund, and previously Microsoft's AI for Good Lab.
His research focuses on using big data and machine learning to understand human impacts on ecosystems, working at the intersection of environmental justice, deep learning, and sustainability. He develops geospatial machine learning methods to address policy problems related to environmental degradation, resource extraction, socio-economic development, and climate change.
Checkout some of Ando's work at:
Ando's website: https://ando.xyz
Additional Details
There is no fee to join the session. We will have a voluntary donation box / QR Code at the venue to support the programming.
P.S.: There's limited seats! Sign up soon.
Who is hosting?
The event is being hosted by Veditum India Foundation and Kolkata Change Makers.